Zach graduated in Summer 2025 and is now a staff engineer at SLAC National Accelerator Laboratory. His research developed a fast, bias-aware neural-Bayesian pipeline that reconstructs ultra-high-energy particle directions from nanosecond radio pulses with sub-degree precision, advancing detection methods for arrays like GRAND, IceCube-Gen2, and AugerPrime Radio.

Publication: https://arxiv.org/pdf/2508.15991